International Research Journal of Engineering and Technology (IRJET)
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Volume: 06 Issue: 09 | Sep 2019
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Design and Implementation of Gesture Controlled Robot with a
Robotic Arm
Chinmay Patil1*, Shivani Sharma2, Sneha Singh3
1,2,3Student
of B.Tech Electronics & Telecommunication, NMIMS University’s MPSTME, Mumbai,
India 400056.
---------------------------------------------------------------------***--------------------------------------------------------------------Abstract - This paper puts forward the design and
implementation of Gesture Controlled Robot with Robotic Car
in a very simple and efficient way. A Robot is a mechanical
device that can perform physical tasks. Robotic arm is a
mechanical system which is used in manipulating the
movement of lifting, moving, and manipulating the workpiece
to lighten the work of man. The 3D printed robotic arm is
operated & controlled with a joystick while the robotic car is
wirelessly gesture controlled with hand gesture which
transmits signals to the prototype through the transmitter
fixed on the gloves put on hands, instead of conventional
methods used. An accelerometer and microcontroller is used to
convert the hand gestures into signal for controlling of robot.
Key Words: Accelerometer, Gesture Controlled Robot,
Joystick, 3D printed robotic arm.
Figure 1-Prototype
2.Related Work
1.INTRODUCTION
Robotics is a new emerging technology in the field of
science. Many researchers across the globe are coming up
with new products to help humans. Robots can be controlled
wirelessly or by using wired controllers. In many of the
industries robots have taken the place of humans but still
they need to be controlled by them only. Earlier robots were
controlled using physical devices but nowadays they can be
controlled via various methods. Hand gesture-controlled
robots were developed in order to help humans to do things
which are difficult for any human like disarming a bomb,
handling nuclear materials or any day to day activity. A
robotic arm constructed with diverse joints that replaces
human arm joint. The entire joint is motor driven with a
controller made up of joystick to operate each joint of the
robotic arm.
The main aim is to design a robotic arm which is
implemented on robotic car as shown in figure 1, so that it
can be used in places where human beings can’t reach. It can
be used as a fire fighting robot, can be used in construction,
medical and military fields.
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Several researches have been made in the field of
robotics, to create robots which are user-friendly,
implementing user interfaces such as 3D joystick, touch
screens, etc. But these techniques do not give accurate
results and provide slow response. A gesture controlled
robotic car and a 3D printed arm controlled with a joystick
are usually two different things and integrating them
together is something new.
A hand gesture-controlled robot using accelerometer,
flex sensors and Zigbee which uses the Sixth Sense
technology was implemented in [1]. Some of the basic
hardware materials were used along with the Zigbee
modules and simple assembly language was used. It had
several applications in the machine industry for picking and
placing.
Another gesture-controlled robot used for research and
development was implemented using 3D motion tracking
wirelessly with the help of Bluetooth in [2]. This was
predominantly development for the operator who does not
need special competences to control the manipulator device.
On the contrary, he can pay his full attention at the process
or object which is of most interest to an observer.
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It made the use of python coding along with the lynx motion
AL5A module.
An accelerometer-based gesture-controlled arm for an ROV
(Remotely Operated Vehicle) was developed using a simple
gyroscope and joystick and discussed in [3]. Hence this
required no previous training for the operator as well as
provide for a smooth and accurate movement.
A wireless robotic arm that uses GUI for wireless
communication was evolved in [4]. It had five separate
movements controlled by five servo motors. Going to
wireless from wired is much easier with less hassle and GUI
helps to communicate between systems in an easier way.
A simple hand gesture robotic arm using accelerometer
was put into effect. An algorithm for gesture sensing has
been developed in [5] to replace the approach of traditional
controlling mechanism of robots, by an innovative hand
gesture-based controlling. It made use of WIN AVR STUDIO
4.0, PROTEUS for coding and had a large range of
communication.
The light weight robotic arm using a joystick was
implemented in [6]. The arm is constructed almost entirely
of plastic elements: inflatable links, airbag actuators, and
acrylonitrile butadiene styrene (ABS) joints. A new method
of control was used and this was especially designed for
medical and healthcare purposes.
A joystick-controlled arm with auditory feedback was
developed in [7]. Joystick-based operation is a popular
method for operating various types of robots, such as
excavators, cranes, and space tele robotics. The goal is to
create efficient methods for controlling such devices.
3.System Description
Figure 2 shows the block diagram of Transmitter section of
Gesture Controlled Robot. Here, the accelerometer initiates
the process by point data to the ATMEGA 328
microcontroller (8-bit) based on the gesture performed by
the user. This data is processed by the microcontroller
towards the RF transmitter module (433.92 MHz frequency
range).
Figure 2- Block schematic of Transmitter section of Gesture
controlled robot
Figure 3 shows the Block schematic of Receiver section of
Gesture controlled robot. The receiver RF module receives
(433 MHz frequency range) the data sent by the transmitter
and processes it further to the microcontroller at the
receiver end. And thus, the microcontroller (8-bit) directs
the given signal to the L293D motor driver which eventually
performs the required corresponding physical tasks.
A gesture-controlled car using simple methods was
implemented in [8]. It shows a robotic system that allows
anyone, especially normal people with no technical
background, to instruct a robot just showing it what it should
do.
A solely military purposed gesture-controlled robot was
developed in [9]. There are numerous robots using
commands from user or self-controlled, the requirement for
gesture controlled robots are on the rise for military
purposes, which is called as Unmanned ground vehicles
(UGVs). The main advantage of this is that it is gesture
functioning without base station assistance.
Figure 3- Block schematic of Receiver section of Gesture
controlled robot
A Hand Motion Controlled Robotic Vehicle with obstacle
detection which identifies trends in technology applications
and usability are discussed in [10]. An approach is presented
that is based on detection of motion of hand which will
control vehicle movement and refrains movement of vehicle
if an obstacle is detected in path.
Figure 4 shows the block diagram of Transmitter section of
Gesture Controlled Robot. The USB joystick (analog) is used
by the user at the transmitter end. Once the user performs a
specific gesture on joystick, based on the assigned threshold
values the message is transmitted to RS232 which processes
the corresponding message and sends it towards the
receiver end.
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directed. Similarly, If Y-pos < 300 is true, a left move is
directed, else it moves to the next input that is if Y > 700 is
true, a left move is directed. Again, this step terminates and
stops until the whole message is gone and waits for the new
message to come. The following message determines the
opening and closing of the robotic arm. The values of this
corresponding message are read and if Val<300 is true then
the arm closes and if Val<300 is false then the arm opens.
After the processing of this message the entire cycle of one
particular gesture is terminated and the system waits for a
new message signal.
Figure 4- Block schematic of implemented Robotic arm
At the receiver end the message is received and decoded by
the SCB (Servo Controller Board) and responsible for
required moment of the robotic arm.
4.System Methodology
Figure 5 shows the process of the transmitter section, the
process is initiated by setting the X and Y pin of the joystick.
Further the X and Y pins are read and the threshold values
are set for adjusting the sensitivity.
Figure 6 shows the flow of the receiver section, that once it
receives signals from the transmitter, it initializes Q1, Q2, Q3
and Q4 servo pins. After this the receiver’s PLL is started and
the output for the motor control is set. Next are the nonblocking signals which are determined by using loops in the
receiver’s code. If the statement is true then it goes to the
next block that is int i = 0, which directly follows the next
iteration that is i++. And if the condition is false it goes to the
next block int i = 0 followed by i < buffer and if this is true it
refreshes, otherwise checks the first data received.
Figure 6- Flowchart of Receiver section
Figure 5-Flowchart of Transmitter section
A particular threshold is assigned for every particular
gesture in a loop. If X < 340 is true, a forward move is
directed else it moves to the next input that is if X > 400 is
true, a backward move is directed. Similarly, If Y < 340 is
true, a right move is directed, else it moves to the next input
that is if Y > 400 is true, a left move is directed.
This step terminates and stops until the whole message is
gone and waits for the next message to come. In a similar
way, the X and Y pins of the joystick are set. If X-pos < 300 is
true, an up arm move is directed else it moves to the next
input that is if X-pos > 700 is true, a down arm move is
Now if the data received is char (buff[i])== ‘s’ (‘s’ represents
Stop) and is true then it stops and if false then it moves to
the next statement char (buff[i])== ‘f’ (‘f’ represents
Forward) and when this statement is true it processes a
forward move signal otherwise it moves to the next
statement char (buff[i])== ‘b’ (‘b’ represents Backward)
which when true processes a backward move signal
otherwise moves to the next statement char (buff[i])== ‘l’ (‘l’
represents Left) which when true processes a left move
signal otherwise moves to the next statement char
(buff[i])== ‘r’ (‘r’ represents Right) which when true
processes a right move signal otherwise moves to the next
statement char (buff[i])== ‘u’ (‘u’ represents Up) which when
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true processes an upward movement signal otherwise
moves to the next statement char (buff[i])== ‘d’ (‘d’
represents Down) which when true processes a downward
move signal.
Microcontroller (ATMega328)
In a Similar manner with continuation the movement of arm
to open and close are also described as follows: If the
condition of the downward movement is wrong then the
code moves to the next statement which is char (buff[i])==
‘g’ (‘g’ represents Right arm) which when true processes a
right move signal for the arm otherwise moves to the next
statement char (buff[i])== ‘h’ (‘h’ represents Left arm) which
when true processes a left move signal for the arm otherwise
moves to the next statement char (buff[i])== ‘t’ (‘t’
represents Stop arm) which when true processes a stop
signal for the arm otherwise moves to the next and the final
statement char (buff[i])== ‘c’ (‘c’ represents Close) which
when true processes a close move signal for the arm.
Amongst all the conditions if any 1 condition is true then it
directly progresses to next iteration i++ which is followed by
the conditions of the robotic car and conditions of the
joystick controlled robotic arm. And this is further followed
by the termination step that is ‘Stop’.
Accelerometer (ADXL337)
-
-
-
In this prototype, the gesture-controlled car is developed
using an accelerometer, RF module and is controlled using
microcontroller ATMega328. The accelerometer and the
transmitter module along with the microcontroller comprise
of the transmitter section. The data is transmitted using
radio frequency via the transmitter’s end. The receiver
section consists of the receiver module and the
microcontroller which in turn commands the motor drivers.
Hence the data is received by the receiver RF module and the
commands are given to the motors via the motor driver. The
weight of the car is precisely evaluated and calculated in
order to balance out the weight of the robotic arm which is
mounted on the car and thus allows the arm to move freely
without any dominance.
It drives the DC motors and is used to drive
induction loads. L293D is a 16-pin IC which can
control a set of two DC motors simultaneously in
any direction. It means that you can control two
DC motors with a single L293D IC. Dual H-bridge
Motor Driver integrated circuit (IC).
Specific set of threshold values are assigned for respective
hand gesture moments such as forward, backward, left and
right. On the transmitter end the accelerometer will be
mounted on a human hand glove which will be used to
perform hand gestures which will be responsible for the
moment of the robotic car. While on the receiver end, there
is a motor driver which takes the message sent by the
transmitter and received by the receiver and converts these
signals into mechanical moments via the motor driver.
Car chassis
Provides room for the DC motors as well as other
Modules.
The robotic arm will be a 3D printed prototype in order to
keep it light weight and for easy mounting on the robotic car.
The design of the arm is kept simple to implement and easy
to handle. The joystick is used to control the arm for smooth
movement. With the help of the microcontroller the
commands of the joystick are transferred to the arm and the
movements are done. Commands like forward, backward,
left, right and stop are being used.
Similar to that of the robotic car, even the joystick comprises
of a transmitter and a receiver end. And in a similar way,
specific set of threshold values are assigned for respective
joystick commands which include up arm, down arm, left
arm, right arm, arm close and arm open.
RF Module (Transmitter and Receiver)
-
RF module (radio frequency module) is a (usually)
small electronic device used to transmit and/or
receive radio signals between two devices. In an
embedded system it is often desirable to
communicate with another device wirelessly.
Wheels
-
They are attached to the chassis with the help of
screws and then connected to the DC motors for
movement.
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It is used to control the robotic arm.
6.Implementation
L293D Motor Driver
-
It is a device that measures proper acceleration.
Analog Joystick
5.Hardware and Software Modules
-
A single-chip microcontroller having a 8-bit AVR
and is used in many autonomous systems.
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Figure 7- Various gestures for movement of vehicle
7.Result and Conclusion:
Figure 8,9 show the final hardware model of the joystick
controlled robotic arm and gesture controlled robotic car
respectively.
Figure 9- Gesture controlled Robotic car
The objective of this project, of developing the hardware and
software for a gesture controlled robotic car and a joystickcontrolled arm has been accomplished. From the
observations it is clear that the movement of an arm and car
is precise, easy to control and user friendly. This robot
control method is expected to overcome the problem. It can
be used as a fire fighting robot to help the people from the
fire accident. These can be used in construction field and also
in industries to control trolley and lift. They can also be used
in military and medical applications.
Figure 8- Robotic Arm
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8.References:
[1]
Raheja J.L, Shyam R, Kumar U, Prasad P.B : “Robot
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[2]
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(MFI),2016.
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Djoko Purwanto, HeriSuryoatmojo, “Development of
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[3]
[4]
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[6]
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[7]
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[8]
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Volume: 04 Issue: 09, Sep -2017.
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